Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Tedeschi
4
69 kgMédici
5
70 kgBertazzo
6
75 kgRamos
7
65 kgSevilla
8
62 kgCésar Veloso
12
69 kgAreruya
13
74 kgFiorilli
17
63 kgMahler
18
63 kgAlarcón
20
72 kgVinhas
24
59 kgFernández
26
69 kgRojas
29
58 kgCalabria
30
55 kgSilva
38
66 kgAndriato
42
67 kgGil Martinez
44
60 kgZhupa
46
78 kgCaldeira
55
76 kgDal Col
60
80 kgDiaz
62
61 kg
4
69 kgMédici
5
70 kgBertazzo
6
75 kgRamos
7
65 kgSevilla
8
62 kgCésar Veloso
12
69 kgAreruya
13
74 kgFiorilli
17
63 kgMahler
18
63 kgAlarcón
20
72 kgVinhas
24
59 kgFernández
26
69 kgRojas
29
58 kgCalabria
30
55 kgSilva
38
66 kgAndriato
42
67 kgGil Martinez
44
60 kgZhupa
46
78 kgCaldeira
55
76 kgDal Col
60
80 kgDiaz
62
61 kg
Weight (KG) →
Result →
80
55
4
62
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TEDESCHI Mirko | 69 |
| 5 | MÉDICI Matías | 70 |
| 6 | BERTAZZO Liam | 75 |
| 7 | RAMOS Kléber | 65 |
| 8 | SEVILLA Óscar | 62 |
| 12 | CÉSAR VELOSO Gustavo | 69 |
| 13 | ARERUYA Joseph | 74 |
| 17 | FIORILLI Tiago | 63 |
| 18 | MAHLER Nathan | 63 |
| 20 | ALARCÓN Raúl | 72 |
| 24 | VINHAS Rui | 59 |
| 26 | FERNÁNDEZ Delio | 69 |
| 29 | ROJAS Juan Carlos | 58 |
| 30 | CALABRIA Fabio | 55 |
| 38 | SILVA Joaquim | 66 |
| 42 | ANDRIATO Rafael | 67 |
| 44 | GIL MARTINEZ Tomas Aurelio | 60 |
| 46 | ZHUPA Eugert | 78 |
| 55 | CALDEIRA Samuel José | 76 |
| 60 | DAL COL Andrea | 80 |
| 62 | DIAZ Daniel | 61 |